Sheep house environment detection system and method

Abstract

The invention provides a sheep house environment detection system and method. The method comprises the following steps: determining a distribution area of suspended particles in a sheep house through all light intensities; performing gradient analysis on the concentration of the suspended particles in the sheep house according to the distribution area of the suspended particles and the distribution characteristics of all the detection areas to obtain the area concentration of the suspended particles in each detection area, and determining the concentration fluctuation characteristics of the suspended particles in the sheep house according to all the area concentrations; the flowing wind speed in the sheep house is collected through a wind speed sensor, and the concentration correction coefficient of suspended particles in the sheep house is determined according to the flowing wind speed and all the light intensity; and determining the confidence concentration of the suspended particles in the sheep house through the concentration fluctuation characteristics and the concentration correction coefficient. According to the scheme, gradient detection of the concentration of the suspended particles in the sheep house can be realized, and the influence of non-uniform distribution of the suspended particles in the sheep house on detection of the concentration of the suspended particles is reduced, so that the detection accuracy of the concentration of the suspended particles in the sheep house is improved.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent environmental detection, and more specifically, to a sheep house environment detection system and method. Background Art

[0002] Environmental testing refers to the monitoring and analysis of physical, chemical and biological indicators in natural or artificial environments through various technologies and means to assess environmental quality, pollution conditions and potential risks. Environmental testing is widely used in ecological protection, industrial production, urban management, public health and other fields.

[0003] Sheep house environmental testing refers to a series of technologies and processes used to monitor and evaluate environmental conditions in sheep houses to ensure the health and well-being of the sheep. In existing sheep house environmental testing, samples of suspended particles in the sheep house are collected, and the suspended particles are analyzed through the collected samples to obtain the concentration of suspended particles in the sheep house. However, in actual situations, the suspended particles in the sheep house are not evenly distributed. For example, the concentration of suspended particles in areas with dense sheep and dense sheep manure is higher, and the concentration of suspended particles in areas such as vents and outlets is lower. Therefore, there is a deviation between the concentration of suspended particles in the sheep house detected by collecting samples and the actual concentration in the sheep house. Therefore, how to achieve gradient detection of the concentration of suspended particles in the sheep house, reduce the impact of uneven distribution of suspended particles in the sheep house on the detection of suspended particle concentration, and thereby improve the accuracy of detecting the concentration of suspended particles in the sheep house has become a problem faced by the industry. Summary of the invention

[0004] The present application provides a sheep house environment detection system and method, which can realize gradient detection of the concentration of suspended particles in the sheep house, reduce the impact of uneven distribution of suspended particles in the sheep house on the detection of the concentration of suspended particles, and thus improve the accuracy of detecting the concentration of suspended particles in the sheep house.

[0005] In a first aspect, the present application provides a method for detecting the concentration of suspended particles in a sheep house, comprising the following steps: The light intensity in each detection area is collected by a light intensity sensor; Determine the distribution area of ​​suspended particles in the sheep house using all light intensities; Performing gradient analysis on the concentration of suspended particles in the sheep house based on the distribution area of ​​the suspended particles and the distribution characteristics of all detection areas to obtain the regional concentration of suspended particles in each detection area, and then determining the concentration fluctuation characteristics of suspended particles in the sheep house based on all regional concentrations; The flow wind speed in the sheep house is collected by a wind speed sensor, and the concentration correction coefficient of suspended particles in the sheep house is determined according to the flow wind speed and all light intensities; The confidence concentration of suspended particles in the sheep house is determined by the concentration fluctuation characteristics and the concentration correction coefficient.

[0006] In some embodiments, determining the distribution area of ​​suspended particles in the sheep house by all light intensities specifically includes: Divide the sheep house into several areas; Determine the scattering area of ​​suspended particles in each area based on all light intensities; The distribution area of ​​suspended particles in the sheep house is determined by all scattering areas.

[0007] In some embodiments, the concentration of suspended particles in the sheep house is subjected to gradient analysis based on the distribution area of ​​the suspended particles and the distribution characteristics of all detection areas, and the regional concentration of suspended particles in each detection area is obtained, specifically including: Obtain the distribution characteristics of all detection areas; Divide the sheep house into multiple layered areas from bottom to top; Determine multiple distribution difference gradients of suspended particles from bottom to top in the sheep house according to the distribution area of ​​the suspended particles; The regional concentration of suspended particles in each detection area is determined based on all distribution difference gradients, all layer-by-layer areas and the distribution characteristics.

[0008] In some embodiments, determining the concentration fluctuation characteristics of suspended particles in the sheep house based on all regional concentrations specifically includes: Extract multiple adjustable detection areas from all detection areas of the sheep house according to all regional concentrations; Adjust the layout of the detection areas in the sheep house through all adjustable detection areas; The light intensity sensor recollects the light intensity received in each detection area after adjustment to obtain multiple adjusted light intensities; Determine a plurality of mutation light intensities according to all adjustment light intensities; Determine the concentration fluctuation characteristics of suspended particles in the sheep house based on all sudden changes in light intensity.

[0009] In some embodiments, extracting multiple adjustable detection areas from all detection areas of the sheep house according to all regional concentrations specifically includes: Determine the penetration threshold of suspended particles in sheep houses; Selecting a regional concentration as a selected regional concentration, and comparing the selected regional concentration with the penetration threshold; If the concentration in the selected area is less than the penetration threshold, the detection area corresponding to the concentration in the selected area is used as an adjustable detection area in the sheep house; If the concentration of the selected area is greater than or equal to the penetration threshold, no processing is performed; Continue to judge the concentration in the remaining areas, and then obtain multiple adjustable detection areas in the sheep house.

[0010] In some embodiments, determining the concentration correction coefficient of suspended particles in the sheep house according to the flow wind speed and all light intensities specifically includes: determining a particle flow coefficient of suspended particles in the sheep house according to the flow wind speed; Determine multiple fluctuating concentrations of suspended particles in the sheep house based on all light intensities; The concentration correction factor for suspended particles in the sheep house is determined by all fluctuating concentrations and the particle flow coefficient.

[0011] In some embodiments, determining the confidence concentration of suspended particles in the sheep house by using the concentration fluctuation characteristics and the concentration correction coefficient specifically includes: determining the fluctuating concentration of suspended particles in the sheep house according to the concentration fluctuation characteristics; The confidence concentration of suspended particles in the sheep house is determined based on the concentration correction coefficient and the fluctuating concentration.

[0012] In a second aspect, the present application provides a sheep house environment detection system, the sheep house environment detection system includes a concentration detection unit, and the concentration detection unit includes: A collection module, used to instruct the light intensity sensor to collect the light intensity in each detection area; A processing module for determining the distribution area of ​​suspended particles in the sheep house using all light intensities; The processing module is further used to perform gradient analysis on the concentration of suspended particles in the sheep house based on the distribution area of ​​the suspended particles and the distribution characteristics of all detection areas, to obtain the regional concentration of suspended particles in each detection area, and then determine the concentration fluctuation characteristics of suspended particles in the sheep house based on all regional concentrations; The processing module is also used to instruct the wind speed sensor to collect the flow wind speed in the sheep house, and determine the concentration correction coefficient of suspended particles in the sheep house according to the flow wind speed and all light intensities; An execution module is used to determine the confidence concentration of suspended particles in the sheep house through the concentration fluctuation characteristics and the concentration correction coefficient.

[0013] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned method for detecting the concentration of suspended particles in a sheep house.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-mentioned method for detecting the concentration of suspended particles in a sheep house.

[0015] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects: In the sheep house environment detection system and method provided by the present application, first, the light intensity in each detection area is collected by a light intensity sensor; the distribution area of ​​the suspended particles in the sheep house is determined by all the light intensities; the concentration of the suspended particles in the sheep house is gradient analyzed based on the distribution area of ​​the suspended particles and the distribution characteristics of all the detection areas to obtain the regional concentration of the suspended particles in each detection area, and then the concentration fluctuation characteristics of the suspended particles in the sheep house are determined based on all the regional concentrations; the flow wind speed in the sheep house is collected by a wind speed sensor, and the concentration correction coefficient of the suspended particles in the sheep house is determined based on the flow wind speed and all the light intensities; the confidence concentration of the suspended particles in the sheep house is determined based on the concentration fluctuation characteristics and the concentration correction coefficient.

[0016] It can be seen that in the process of sheep house environment detection in the present application, first, by analyzing the light intensity in the sheep house, the area of ​​the distribution of suspended particles in the sheep house is determined, and then the distribution area is obtained. According to the distribution area combined with the distribution characteristics of all detection areas, the concentration of suspended particles in the sheep house is gradient analyzed to determine the parameter values ​​of the suspended particle concentration in each detection area, and then the regional concentration of each detection area is obtained, and the regional concentration can reduce the influence of the uneven distribution of suspended particles in the sheep house on the detection of the concentration of suspended particles; secondly, the characteristics of the concentration fluctuation degree of suspended particles in the sheep house are analyzed through all regional concentrations, and the concentration fluctuation characteristics of suspended particles in the sheep house are determined. The concentration fluctuation characteristics facilitate the rapid positioning of the area of ​​suspended particles in the sheep house; further, by analyzing the flow wind speed and all light intensities in the sheep house, the correction degree of the concentration of suspended particles in the sheep house under ventilation state is determined, and then the concentration correction coefficient is obtained. The concentration correction coefficient is used to correct the concentration of suspended particles in the sheep house, and the confidence concentration of suspended particles in the sheep house is determined by the concentration fluctuation characteristics and the concentration correction coefficient. The confidence concentration solves the influence of uneven distribution of suspended particles in the sheep house on the concentration. The above scheme can realize gradient detection of the concentration of suspended particles in the sheep house, reduce the influence of uneven distribution of suspended particles in the sheep house on the detection of the concentration of suspended particles, and thus improve the accuracy of detecting the concentration of suspended particles in the sheep house. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is an exemplary flow chart of a method for detecting the concentration of suspended particles in a sheep house according to some embodiments of the present application; Figure 2 is a cross-sectional schematic diagram of arrangement of detection areas according to some embodiments of the present application; Figure 3 is an exemplary flow chart for determining regional concentration according to some embodiments of the present application; Figure 4 is a schematic diagram of the structure of a concentration detection unit according to some embodiments of the present application; Figure 5 It is a structural schematic diagram of a computer device for implementing a method for detecting the concentration of suspended particles in a sheep house according to some embodiments of the present application. DETAILED DESCRIPTION

[0018] In order to better understand the technical solution of the present application, the technical solution of the present application will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0019] refer to Figure 1 , which is an exemplary flow chart of a method for detecting the concentration of suspended particles in a sheep house according to some embodiments of the present application. The method 100 for detecting the concentration of suspended particles in a sheep house mainly includes the following steps: In step 101, the light intensity in each detection area is collected by a light intensity sensor.

[0020] In the specific implementation, the Internet of Things technology in the existing technology is combined with the space, ventilation, historical suspended particle concentration data of the sheep house to arrange multiple detection areas layer by layer from top to bottom in the sheep house, such as Figure 2 As described, the figure is a cross-sectional schematic diagram of the arrangement of detection areas shown in some embodiments of the present application, which includes the detection unit and the internal cross-section of the sheep house. Since the concentration of suspended particles in the sheep house is higher as it goes down, the detection areas are arranged more densely as they go down; when the sheep house is inspected, the light source is irradiated from top to bottom, and the light intensity sensor collects the light intensity received by each detection area. It should be noted that an LED light is arranged on the top of the sheep house. When the concentration of suspended particles in the sheep house is detected, the LED light is turned on, and the light intensity sensor is used to collect the light intensity of the light emitted by the LED light received by each detection area arranged in the sheep house; in this embodiment, the sheep house is a closed type; in other embodiments, other methods of collection can also be used, which are not limited here.

[0021] In step 102, the distribution area of ​​suspended particles in the sheep house is determined by all light intensities.

[0022] In some embodiments, determining the distribution area of ​​suspended particles in the sheep house by all light intensities can be achieved by the following steps: Divide the sheep house into several areas; Determine the scattering area of ​​suspended particles in each area based on all light intensities; The distribution area of ​​suspended particles in the sheep house is determined by all scattering areas.

[0023] In specific implementation, the sheep house can be divided into multiple areas in the following manner, namely: the architectural structure of the sheep house is obtained from the design drawings of the sheep house, and the sheep house is divided into multiple areas by combining the spatial model division method in the prior art (such as geometric segmentation, finite element division) with the architectural structure, wherein the division into multiple areas facilitates a detailed analysis of the suspended particles in the sheep house and improves the accuracy of detecting suspended particles; the scattering area of ​​the suspended particles in each area is determined according to all light intensities, which can be implemented in the following manner, namely: an area is selected as the selected area, and the initial light intensity in the sheep house is collected by a light intensity sensor, wherein the initial light intensity represents the light intensity emitted by the LED lamp in the sheep house, and the initial light intensity is subtracted from the light intensity of each light intensity in the selected area to obtain the intensity difference value of each light intensity, wherein the intensity difference value represents the intensity of light received by the detection area. A parameter value of the degree of difference between the intensity and the initial light intensity is obtained, and a scattering intensity threshold in the sheep house is obtained from the database of the sheep house, wherein the scattering intensity threshold represents the judgment value of the scattered light intensity in the sheep house, and all intensity difference values ​​greater than the scattering intensity threshold are extracted from all intensity difference values. The corresponding detection areas of the extracted intensity difference values ​​are connected to each other, and the connected area is used as the scattering area of ​​the suspended particles in the selected area, and the scattering area of ​​the suspended particles in the remaining areas is continued to be determined, wherein the scattering area represents the area where the suspended particles in the area scatter the light; determining the distribution area of ​​the suspended particles in the sheep house to the irradiation light through all the scattering areas can be achieved in the following way, namely: taking the set of all scattering areas as the distribution area of ​​the suspended particles in the sheep house to the irradiation light, and in other embodiments, other methods can also be used to determine, which is not limited here.

[0024] It should be noted that the distribution area in the present application is an area that reflects the distribution of suspended particles in the sheep house, and is used to analyze the concentration of suspended particles in the sheep house, so that the sheep house can make timely strategies to deal with suspended particles.

[0025] In step 103, the concentration of suspended particles in the sheep house is subjected to a gradient analysis based on the distribution area of ​​the suspended particles and the distribution characteristics of all detection areas to obtain the regional concentration of suspended particles in each detection area, and then the concentration fluctuation characteristics of suspended particles in the sheep house are determined based on all regional concentrations.

[0026] In some embodiments, reference Figure 3 As shown, this figure is a schematic diagram of the process of determining the regional concentration in some embodiments of the present application. In this embodiment, the concentration of suspended particles in the sheep house is gradient analyzed based on the distribution area of ​​the suspended particles and the distribution characteristics of all detection areas. The regional concentration of suspended particles in each detection area can be obtained by the following steps: First, in step 1031, the distribution characteristics of all detection areas are obtained; Next, in step 1032, the sheep house is divided into a plurality of layer-by-layer areas from bottom to top; Then, in step 1033, multiple distribution difference gradients of the suspended particles from bottom to top in the sheep house are determined according to the distribution area of ​​the suspended particles; Finally, in step 1034, the regional concentration of suspended particles in each detection area is determined based on all distribution difference gradients, all layer-by-layer areas and the distribution characteristics.

[0027] In specific implementation, the following method can be used to obtain the distribution characteristics of all detection areas, namely, obtaining the positions of various detection areas in the sheep house from the sheep house database, and taking the set of corresponding positions of all detection areas as the distribution characteristics of all detection areas, wherein the distribution characteristics represent the distribution of the detection areas in the sheep house; dividing the sheep house from bottom to top into multiple layer-by-layer areas can be implemented in the following method, namely, presetting the area division threshold in the sheep house by combining the historical suspended particle data of the sheep house with the machine learning method in the prior art, wherein the area division threshold represents the threshold for dividing the sheep house from bottom to top, and The domain division threshold divides the sheep house from bottom to top in an overlapping manner, that is, first, from the bottom of the sheep house upward, it is divided with the area division threshold as the size to obtain the first layer-by-layer area, and from the top of the first layer-by-layer area upward, it is divided with twice the area division threshold as the size to obtain the second layer-by-layer area, and so on, until the sheep house is divided from bottom to top to obtain multiple layer-by-layer areas, wherein the layer-by-layer area represents the area of ​​the penetration degree of suspended particles in the sheep house, and is used to perform penetration analysis on the suspended particles in the sheep house, that is, to analyze the concentration of suspended particles; in other embodiments, other methods can also be used for determination, which is not limited here.

[0028] In specific implementation, determining multiple distribution difference gradients of suspended particles in the sheep shed from bottom to top according to the distribution area of ​​the suspended particles can be achieved in the following manner, namely: arranging all scattering areas in the distribution area of ​​the suspended particles in order from bottom to top according to the corresponding positions in the sheep shed, and using the sequence obtained by the arrangement as the scattering area sequence, selecting a group of adjacent scattering areas in the scattering area sequence as selected adjacent scattering areas, subtracting the area of ​​the second scattering area from the area of ​​the first scattering area of ​​the selected adjacent scattering area, and using the subtracted value as the distribution difference gradient of the selected adjacent scattering areas of suspended particles in the sheep shed from bottom to top, and continuing to determine the distribution difference gradient of the remaining groups of adjacent scattering areas of suspended particles in the sheep shed from bottom to top, wherein the distribution difference gradient represents the gradient value of the degree of difference between the corresponding adjacent areas of suspended particles in the sheep shed, and is used to analyze the concentration of suspended particles in the sheep shed; in other embodiments, other methods can also be used for determination, which are not limited here.

[0029] In specific implementation, the regional concentration of suspended particles in each detection area is determined according to all distribution difference gradients, all layer-by-layer areas and the distribution characteristics, which can be achieved in the following manner, namely: initialize a regional concentration model, use all distribution difference gradients, all layer-by-layer areas and the distribution characteristics as constraint parameters of the regional concentration model, use the light intensity of all detection areas as the initialization parameters of the regional concentration model, and output the regional concentration of suspended particles in each detection area through the regional concentration model. The regional concentration model is a regional concentration model that uses a machine learning algorithm (such as a regression algorithm, a neural network, etc.) to establish a regional concentration. The regional concentration model is, for example: multiple regional concentrations = all distribution difference gradients * A + all layer-by-layer areas * B + the distribution characteristics * C + the light intensity of all detection areas * D, wherein A, B, C, D are weight coefficients, A, B, C, D can be determined based on a large number of regional concentrations, and can also be determined in other ways in other embodiments, which are not limited here.

[0030] It should be noted that the regional concentration in the present application represents the parameter value of the suspended particle concentration in the sheep house detection area, which is used to predict the concentration of suspended particles in the sheep house detection area, so as to obtain the concentration of suspended particles in the sheep house.

[0031] In some embodiments, determining the concentration fluctuation characteristics of suspended particles in the sheep house based on all regional concentrations can be achieved by the following steps: Extract multiple adjustable detection areas from all detection areas of the sheep house according to all regional concentrations; Adjust the layout of the detection areas in the sheep house through all adjustable detection areas; The light intensity sensor recollects the light intensity received in each detection area after adjustment to obtain multiple adjusted light intensities; Determine a plurality of mutation light intensities according to all adjustment light intensities; Determine the concentration fluctuation characteristics of suspended particles in the sheep house based on all sudden changes in light intensity.

[0032] In some embodiments, extracting multiple adjustable detection areas from all detection areas in the sheep house according to all regional concentrations can be achieved by the following steps: Determine the penetration threshold of suspended particles in sheep houses; Selecting a regional concentration as a selected regional concentration, and comparing the selected regional concentration with the penetration threshold; If the concentration in the selected area is less than the penetration threshold, the detection area corresponding to the concentration in the selected area is used as an adjustable detection area in the sheep house; If the concentration of the selected area is greater than or equal to the penetration threshold, no processing is performed; Continue to judge the concentration in the remaining areas, and then obtain multiple adjustable detection areas in the sheep house.

[0033] In specific implementation, the penetration threshold of suspended particles in the sheep house can be determined in the following manner, namely: obtaining historical regional concentration data when the suspended particles in the sheep house have no impact on the sheep flock from the sheep house database, and calculating the penetration threshold of suspended particles in the sheep house through statistical analysis in the prior art (such as the mean and standard deviation method, the median and interquartile range method) combined with the historical regional concentration data, wherein the penetration threshold represents the threshold of the degree of penetration when the suspended particles in the sheep house have no impact on the sheep flock, and is used to judge the suspended particles in the sheep house; in other embodiments, other methods can also be used to determine, which are not limited here.

[0034] It should be noted that in the present application, when the regional concentration is less than the penetration threshold, the suspended particles in the interval from the detection area to the light source corresponding to the regional concentration have an impact on the sheep flock. When the regional concentration is greater than or equal to the penetration threshold, the suspended particles in the interval from the detection area to the light source corresponding to the regional concentration have no impact on the sheep flock. Therefore, the detection area in the area without impact is used as a variable detection area, which can be arranged in other detection areas, so as to more accurately obtain the distribution of suspended particles in the sheep house.

[0035] In specific implementation, adjusting the layout of the detection areas in the sheep house through all the adjustable detection areas can be achieved in the following manner, namely: arranging the regional concentrations corresponding to all the detection areas in the sheep house except the adjustable detection areas in the detection area in the sheep house in descending order to obtain a regional concentration sequence, extracting the first regional concentration in the penetration sequence, placing an adjustable detection area at the midpoint between the detection point corresponding to the first regional concentration and the LED, etc., extracting the second regional concentration in the penetration sequence, placing an adjustable detection area at the midpoint between the detection point corresponding to the second regional concentration and the LED, etc., and so on, until all the adjustable detection points are placed. In other embodiments, other methods can also be used for adjustment, which are not limited here.

[0036] It should be noted that in the present application, if there are still adjustable detection areas after placement according to the above scheme, the above placement process will be repeated for all remaining adjustable detection areas until all adjustable detection areas are completely placed.

[0037] In specific implementation, the light intensity received by each detection area after the light intensity sensor is re-collected and adjusted is used as the adjusted light intensity, wherein the adjusted light intensity represents the light intensity collected after the detection area in the sheep house is adjusted, and is used to analyze the concentration of suspended particles in the sheep house; determining multiple sudden light intensities based on all the adjusted light intensities can be implemented in the following manner, namely: selecting adjacent detection areas in the sheep house in the longitudinal direction as selected adjacent detection areas, subtracting the adjusted light intensity corresponding to the second detection area from the adjusted light intensity corresponding to the first detection area in the selected adjacent detection area, and obtaining the intensity difference value of the selected adjacent detection area, wherein the intensity difference value represents the parameter value of the degree of difference between the light intensities collected by adjacent detection areas, and collecting the distance between the selected adjacent detection areas through the distance sensor, according to the total light intensity attenuation formula of the prior art ( The intensity attenuation value of the selected adjacent detection area is determined in combination with the formula by using a plurality of methods such as the inverse square law and the Beer-Lambert law, wherein the intensity attenuation value represents the parameter value of the normal attenuation degree of the light intensity between the adjacent detection areas, and the absolute value of the intensity difference value is compared with the intensity attenuation value. If the absolute value of the intensity difference value is greater than the intensity attenuation value, and when the intensity difference value is a positive number, the light intensity corresponding to the second detection area in the selected adjacent detection area is adjusted as the sudden change light intensity of the selected adjacent detection area. If the absolute value of the intensity difference value is greater than the intensity attenuation value, and when the intensity difference value is a negative number, the light intensity corresponding to the first detection area in the selected adjacent detection area is adjusted as the sudden change light intensity of the selected adjacent detection area, and multiple sudden change light intensities are continued to be determined. Other methods may also be used for determination in other embodiments, which are not limited here.

[0038] It should be noted that the mutation light intensity described in the present application represents a parameter value of the degree of mutation of the light intensity between adjacent detection areas, and is used to analyze the presence of suspended particles between adjacent detection areas. When the light intensity corresponding to the first detection area in the adjacent detection areas is a mutation light intensity, it indicates that a large number of suspended particles exist between the first detection area and the LED light. If the light intensity corresponding to the second detection area in the adjacent detection areas is a mutation light intensity, it indicates that a large number of suspended particles exist between the adjacent detection areas.

[0039] In specific implementation, the concentration fluctuation characteristics of suspended particles in the sheep house determined based on all mutation light intensities can be achieved in the following manner, namely: select a mutation light intensity as the selected mutation light intensity, if the detection area corresponding to the selected mutation light intensity belongs to the first detection area in the adjacent detection areas, then the angle between the first detection area and the LED lamp is collected by the distance sensor, if the detection area corresponding to the selected mutation light intensity belongs to the second detection area in the adjacent detection areas, then the angle between the adjacent detection areas is collected by the distance sensor, and then the angle corresponding to the selected mutation light intensity is obtained, and the angle corresponding to the remaining mutation light intensities is continued to be determined, and the sheep house is divided into multiple mutation areas according to the areas where all mutation light intensities are concentrated, and the concentration of suspended particles in each mutation area of ​​the sheep house is determined by combining all mutation light intensities and the angles corresponding to each mutation light intensities through the suspended particle concentration formula in the prior art. The set of the concentration of suspended particles in each mutation area is used as the concentration fluctuation characteristics of suspended particles in the sheep house; in some embodiments, other methods can also be used for determination, which are not limited here.

[0040] It should be noted that the concentration fluctuation characteristics in the present application are characteristics that reflect the degree of concentration fluctuation of suspended particles in the sheep house, and are used to analyze the concentration of suspended particles in the sheep house, so as to quickly locate the area of ​​suspended particles in the sheep house, and then formulate response strategies for removing suspended particles.

[0041] In step 104, the flow wind speed in the sheep house is collected by a wind speed sensor, and the concentration correction coefficient of the suspended particles in the sheep house is determined according to the flow wind speed and all light intensities.

[0042] In specific implementation, the following method can be used to collect the flow wind speed in the sheep house through the wind speed sensor, namely: collect the flow wind speed and wind direction in the sheep house in the ventilation state through the wind speed sensor. It should be noted that the flow wind speed in the present application represents the flow wind speed after the sheep house is ventilated, which is used to analyze the suspended particle status in the sheep house; wherein the wind speed sensor used integrates a wind direction sensor; in other embodiments, other methods can also be used to determine, which is not limited here.

[0043] In some embodiments, determining the concentration correction coefficient of suspended particles in the sheep house according to the flow wind speed and all light intensities can be achieved by the following steps: determining a particle flow coefficient of suspended particles in the sheep house according to the flow wind speed; Determine multiple fluctuating concentrations of suspended particles in the sheep house based on all light intensities; The concentration correction factor for suspended particles in the sheep house is determined by all fluctuating concentrations and the particle flow coefficient.

[0044] In specific implementation, the particle flow coefficient of suspended particles in the sheep house determined according to the flow wind speed can be achieved in the following manner, namely: the wind speed in the flow wind speed is subjected to a natural exponential operation, and the inverse of the value obtained by the natural exponential operation is used as the particle flow coefficient of suspended particles in the sheep house, wherein the particle flow coefficient represents a parameter of the degree of flow of suspended particles in the sheep house during ventilation; the multiple fluctuating concentrations of suspended particles in the sheep house determined according to all light intensities can be achieved in the following manner, namely: the distance from the center point of each mutation area in the particle concentration diagram to the ventilation port position is collected by a distance sensor, all light intensities are arranged in the order from front to back of the corresponding detection area relative to the wind direction, the sequence obtained by the arrangement is used as the light intensity sequence, and the light intensity is selected. A light intensity in the intensity sequence is used as the selected light intensity, and the corresponding position of the selected light intensity in the light intensity sequence is divided by the distance from the center point of the mutation area corresponding to the selected light intensity to the vent position, and the value obtained by the division is multiplied by the selected light intensity, and the value calculated by combining the suspended particle concentration formula (such as stray scattering theory, Beer-Lambert law) with the multiplied value is used as the fluctuating concentration corresponding to the selected light intensity in the sheep house, and the fluctuating concentrations corresponding to the remaining light intensities in the concentration sequence are continued to be determined, wherein the fluctuating concentration represents a parameter value of the degree of fluctuation of the concentration of suspended particles in the sheep house during ventilation, and is used to analyze the changes in the suspended particles in the sheep house; in other embodiments, other methods can also be used for determination, which are not limited here.

[0045] In specific implementation, the concentration correction coefficient of suspended particles in the sheep house can be determined by all the fluctuating concentrations and the particle flow coefficient. The following method is adopted, namely: the corresponding fluctuating concentration is subtracted from each concentration in the particle concentration diagram, and all the concentrations obtained by subtraction are used as ventilation concentrations, wherein the ventilation concentration represents the concentration of suspended particles in the sheep house under ventilation state, the molar mass of suspended particles is obtained from the suspended particle database of the sheep house, the maximum ventilation concentration is multiplied by the particle flow coefficient, and the multiplied value is used as the upper limit value, the minimum ventilation concentration is multiplied by the particle flow coefficient, and the multiplied value is used as the lower limit value, and the difference between the upper limit value and the lower limit value is used as the concentration correction coefficient of suspended particles in the sheep house; in other embodiments, other methods can also be used for determination, which are not limited here.

[0046] It should be noted that the concentration correction coefficient in this application represents the parameter value of the correction degree of the concentration of suspended particles in the sheep house under ventilation conditions, which is used to correct the concentration of suspended particles in the sheep house, so as to facilitate corresponding adjustment strategies for the suspended particles in the sheep house.

[0047] In step 105, the confidence concentration of suspended particles in the sheep house is determined by using the concentration fluctuation characteristics and the concentration correction coefficient.

[0048] In some embodiments, determining the confidence concentration of suspended particles in the sheep house by using the concentration fluctuation characteristics and the concentration correction coefficient can be achieved by the following steps: determining the fluctuating concentration of suspended particles in the sheep house according to the concentration fluctuation characteristics; The confidence concentration of suspended particles in the sheep house is determined based on the concentration correction coefficient and the fluctuating concentration.

[0049] In specific implementation, determining the fluctuating concentration of suspended particles in the sheep house according to the concentration fluctuation characteristics can be achieved in the following manner, namely: dividing the maximum concentration in the concentration fluctuation characteristics by the minimum concentration, performing a logarithmic operation with a base of 10 on the value obtained by the division, multiplying the value obtained by the logarithmic operation by the average value of all concentrations in the concentration fluctuation characteristics, and using the multiplied value as the fluctuating concentration of suspended particles in the sheep house, wherein the fluctuating concentration represents the concentration of suspended particles in the sheep house under fluctuating conditions (such as the concentration under ventilation conditions), and is used to predict the concentration in the sheep house; determining the confidence concentration of suspended particles in the sheep house according to the concentration correction coefficient and the fluctuating concentration can be achieved in the following manner, namely: multiplying the fluctuating concentration by the concentration correction coefficient, and using the multiplied value as the confidence concentration of suspended particles in the sheep house; in other embodiments, other methods can also be used for determination, which are not limited here.

[0050] In addition, in another aspect of the present application, in some embodiments, the present application provides a sheep house environment detection system, the sheep house environment detection system includes a concentration detection unit, reference Figure 4 , which is a schematic diagram of the structure of a concentration detection unit according to some embodiments of the present application, the concentration detection unit 400 includes: a collection module 401, a processing module 402 and an execution module 403, which are described as follows: Collection module 401, in this application, the collection module 401 is mainly used to instruct the light intensity sensor to collect the light intensity in each detection area; Processing module 402, in this application, the processing module 402 is used to determine the distribution area of ​​suspended particles in the sheep house through all light intensities; It should be noted that the processing module 402 in the present application is also used to perform gradient analysis on the concentration of suspended particles in the sheep house based on the distribution area of ​​the suspended particles and the distribution characteristics of all detection areas, to obtain the regional concentration of suspended particles in each detection area, and then determine the concentration fluctuation characteristics of suspended particles in the sheep house based on all regional concentrations; In addition, it should be noted that the processing module 402 in the present application is also used to instruct the wind speed sensor to collect the flow wind speed in the sheep house, and determine the concentration correction coefficient of suspended particles in the sheep house according to the flow wind speed and all light intensities; Execution module 403, in this application, the execution module 403 is mainly used to determine the confidence concentration of suspended particles in the sheep house through the concentration fluctuation characteristics and the concentration correction coefficient.

[0051] In addition, the present application also provides a computer device, which includes a memory and a processor, the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned method for detecting the concentration of suspended particles in a sheep house.

[0052] In some embodiments, reference Figure 5 , which is a schematic diagram of the structure of a computer device for implementing a method for detecting the concentration of suspended particles in a sheep shed according to some embodiments of the present application. The method for detecting the concentration of suspended particles in a sheep shed in the above embodiment can be performed by Figure 5 The computer device 500 shown in the figure is implemented, and the computer device 500 includes at least one processor 501, a communication bus 502, a memory 503 and at least one communication interface 504.

[0053] The processor 501 may be a general-purpose central processing unit (CPU) or an application specific integrated circuit (ASIC).

[0054] The communication bus 502 may be used to transmit information between the above-mentioned components.

[0055] The memory 503 may be a read only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read only memory (EEPROM), a compact disc read only memory (CD ROM) or other optical disc storage, an optical disc storage (including a compressed optical disc, a laser disc, an optical disc, a digital versatile disc, a Blu-ray disc, etc.), a magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. The memory 503 may exist independently and be connected to the processor 501 via the communication bus 502. The memory 503 may also be integrated with the processor 501.

[0056] The memory 503 is used to store the program code for executing the solution of the present application, and the execution is controlled by the processor 501. The processor 501 is used to execute the program code stored in the memory 503. The program code may include one or more software modules. The method used in the above embodiment can be implemented by the processor 501 and one or more software modules in the program code in the memory 503.

[0057] The communication interface 504 uses any transceiver or other device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0058] In a specific implementation, as an embodiment, a computer device may include multiple processors, each of which may be a single-core (single CPU) processor or a multi-core (multi CPU) processor. The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (such as computer program instructions).

[0059] The above-mentioned computer device may be a general-purpose computer device or a special-purpose computer device. In a specific implementation, the computer device may be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device or an embedded device. The embodiment of the present application does not limit the type of computer device.

[0060] In addition, the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned method for detecting the concentration of suspended particles in a sheep house is implemented.

[0061] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0062] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for detecting the concentration of suspended particles in a sheep house, characterized in that: The steps include: The light intensity in each detection area is collected by a light intensity sensor; Determine the distribution area of ​​suspended particles in the sheep house using all light intensities; Performing gradient analysis on the concentration of suspended particles in the sheep house based on the distribution area of ​​the suspended particles and the distribution characteristics of all detection areas to obtain the regional concentration of suspended particles in each detection area, and then determining the concentration fluctuation characteristics of suspended particles in the sheep house based on all regional concentrations; The flow wind speed in the sheep house is collected by a wind speed sensor, and the concentration correction coefficient of suspended particles in the sheep house is determined according to the flow wind speed and all light intensities; The confidence concentration of suspended particles in the sheep house is determined by the concentration fluctuation characteristics and the concentration correction coefficient.

2. The method according to claim 1, characterized in that The distribution areas of suspended particles in the sheep house were determined by all light intensities, including: Divide the sheep house into several areas; Determine the scattering area of ​​suspended particles in each area based on all light intensities; The distribution area of ​​suspended particles in the sheep house is determined by all scattering areas.

3. The method according to claim 1, characterized in that The concentration of suspended particles in the sheep house is subjected to gradient analysis based on the distribution area of ​​the suspended particles and the distribution characteristics of all detection areas, and the regional concentration of suspended particles in each detection area is obtained, which specifically includes: Obtain the distribution characteristics of all detection areas; Divide the sheep house into multiple layered areas from bottom to top; Determine multiple distribution difference gradients of suspended particles from bottom to top in the sheep house according to the distribution area of ​​the suspended particles; The regional concentration of suspended particles in each detection area is determined based on all distribution difference gradients, all layer-by-layer areas and the distribution characteristics.

4. The method according to claim 1, characterized in that The concentration fluctuation characteristics of suspended particles in the sheep house determined based on all regional concentrations include: Extract multiple adjustable detection areas from all detection areas of the sheep house according to all regional concentrations; Adjust the layout of the detection areas in the sheep house through all adjustable detection areas; The light intensity sensor recollects the light intensity received in each detection area after adjustment to obtain multiple adjusted light intensities; Determine a plurality of mutation light intensities according to all adjustment light intensities; Determine the concentration fluctuation characteristics of suspended particles in the sheep house based on all sudden changes in light intensity.

5. The method according to claim 4, characterized in that According to all regional concentrations, multiple adjustable detection areas are extracted from all detection areas of the sheep house, including: Determine the penetration threshold of suspended particles in sheep houses; Selecting a regional concentration as a selected regional concentration, and comparing the selected regional concentration with the penetration threshold; If the concentration in the selected area is less than the penetration threshold, the detection area corresponding to the concentration in the selected area is used as an adjustable detection area in the sheep house; If the concentration of the selected area is greater than or equal to the penetration threshold, no processing is performed; Continue to judge the concentration in the remaining areas, and then obtain multiple adjustable detection areas in the sheep house.

6. The method according to claim 1, characterized in that The concentration correction coefficient of suspended particles in the sheep house is determined according to the flow wind speed and all light intensities, specifically including: determining a particle flow coefficient of suspended particles in the sheep house according to the flow wind speed; Determine multiple fluctuating concentrations of suspended particles in the sheep house based on all light intensities; The concentration correction factor for suspended particles in the sheep house is determined by all fluctuating concentrations and the particle flow coefficient.

7. The method according to claim 1, characterized in that Determining the confidence concentration of suspended particles in the sheep house by using the concentration fluctuation characteristics and the concentration correction coefficient specifically includes: determining the fluctuating concentration of suspended particles in the sheep house according to the concentration fluctuation characteristics; The confidence concentration of suspended particles in the sheep house is determined based on the concentration correction coefficient and the fluctuating concentration.

8. A sheep house environment detection system, the sheep house environment detection system comprising a concentration detection unit, characterized in that: The concentration detection unit comprises: A collection module, used to instruct the light intensity sensor to collect the light intensity in each detection area; A processing module for determining the distribution area of ​​suspended particles in the sheep house using all light intensities; The processing module is further used to perform gradient analysis on the concentration of suspended particles in the sheep house based on the distribution area of ​​the suspended particles and the distribution characteristics of all detection areas, to obtain the regional concentration of suspended particles in each detection area, and then determine the concentration fluctuation characteristics of suspended particles in the sheep house based on all regional concentrations; The processing module is also used to instruct the wind speed sensor to collect the flow wind speed in the sheep house, and determine the concentration correction coefficient of suspended particles in the sheep house according to the flow wind speed and all light intensities; An execution module is used to determine the confidence concentration of suspended particles in the sheep house through the concentration fluctuation characteristics and the concentration correction coefficient.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores codes, and the processor is configured to obtain the codes and execute the method for detecting the concentration of suspended particles in a sheep house as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for detecting the concentration of suspended particles in a sheep house as described in any one of claims 1 to 7 is implemented.

Images